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Found 2 papers, 1 papers with code
Simple Transferability Estimation for Regression Tasks
We consider transferability estimation, the problem of estimating how well deep learning models transfer from a source to a target task.
Transferability and Hardness of Supervised Classification Tasks
As a case study, we transfer a learned face recognition model to CelebA attribute classification tasks, showing state of the art accuracy for tasks estimated to be highly transferable.
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